Cargando…
Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks
In recent years, growing interest in deep learning neural networks has raised a question on how they can be used for effective processing of high-dimensional datasets produced by hyperspectral imaging (HSI). HSI, traditionally viewed as being within the scope of remote sensing, is used in non-invasi...
Autores principales: | Książek, Kamil, Romaszewski, Michał, Głomb, Przemysław, Grabowski, Bartosz, Cholewa, Michał |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700311/ https://www.ncbi.nlm.nih.gov/pubmed/33233358 http://dx.doi.org/10.3390/s20226666 |
Ejemplares similares
-
Hyperspectral Classification of Blood-Like Substances Using Machine Learning Methods Combined with Genetic Algorithms in Transductive and Inductive Scenarios
por: Pałka, Filip, et al.
Publicado: (2021) -
Hyperspectral Image Classification with Optimized Compressed Synergic Deep Convolution Neural Network with Aquila Optimization
por: Subba Reddy, Tatireddy, et al.
Publicado: (2022) -
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
por: Li, Simin, et al.
Publicado: (2019) -
Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning
por: T, Rajendran, et al.
Publicado: (2022) -
Generative adversarial network based digital stain conversion for generating RGB EVG stained image from hyperspectral H&E stained image
por: Biswas, Tanwi, et al.
Publicado: (2023)